Junwaa

AC-MT

[MedIA23] Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation

AUA

automatic_snap_shot_for_paipai

This is an automatic bidding module for paipai.

AutoMetricGNN

binmorphopy

Python package for fast morphological operations of binary images

CauSSL

ConResNet

[IEEE-TMI2020] Inter-slice Context Residual Learning for 3D Medical Image Segmentation

constraint_aware_vat_semi_supervised_segmentation

CAT: Constrained Adversarial Training for Anatomically-Plausible Semi-Supervised Segmentation

DCAC

Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.

deepflash2-cilinic-paper-with-tab-fig-code

A deep-learning pipeline for segmentation of ambiguous microscopic images.

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

M-ADA

The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)

markdown-css-smartisan

按照锤子便签调整的markdown-css 主题。

meta-transfer-learning

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

reptile_for_Anjuke

Climb the historical price of houses in all cities in Anjuke

CostOrdinalPredict-COVID-19-IEEE-JBHI

DeepNormalize

JCSAugment

[TMI2023] Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation.

LeFeD

Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation

numpy-ml

Machine learning, in numpy

OrganSegRSTN_PyTorch

PyTorch implementation of OrganSegRSTN - CVPR 2018

PEFAT

[CVPR2023]PEFAT: Boosting Semi-supervised Medical Image Classification via Pseudo-loss Estimation and Feature Adversarial Training

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

RegisterSystem

SLAug

[AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation"

SSCI

The PyTorch implementation of Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation (MICCAI 2023)

SSL4MIS

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

TTA

Test-Time Adaptation with Shape Moments for Image Segmentation

Unsupervised-Domain-Adaptation-with-Differential-Treatment

Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation (CVPR 2020)

VT-UNet

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation